With the proliferation of data in cloud-based systems, the performance of the data retrieval process from the database management system is becoming indispensable. Caching is one of the techniques to retrieve the data...
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With the proliferation of data in cloud-based systems, the performance of the data retrieval process from the database management system is becoming indispensable. Caching is one of the techniques to retrieve the data faster. It reduces the number of database accesses for similar queries, which in turn, reduces the processing time. It also facilitates in reducing the load on database servers, which results in the reduction of the overall response time. This paper is based on our caching framework for nosql datastores, which seeks to speed up the processing of many requests. The frequently used queries, which are expensive to reevaluate, are cached by this framework on top of a column-based datastore. In order to speed up query processing, certain queries are cached. In this study, query processing times without the influence of the database or system cache are used to evaluate the framework's performance.
More and more cloud services emerging because of increased demand, but there is significant room for improvement. We propose architecture to integrate public cloud services for reducing costs. We consider three issues...
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ISBN:
(纸本)9781467399913
More and more cloud services emerging because of increased demand, but there is significant room for improvement. We propose architecture to integrate public cloud services for reducing costs. We consider three issues: (1) The general cloud storage services are unsuitable for large and complex data. A nosql datastore, the most common type of database for big data, can process operational information. (2) Integrating several cloud services into centralized systems or applications is challenging. (3) Enterprises often use their own equipment, which accounts for a large part of their costs. This study aims to construct cross-service architecture via free cloud-based nosql datastores for virtualizing and integrating needed computing resources and services. We build a stock trading game to test the feasibility and performance of the proposed architecture which can reduce equipment costs by virtualizing computing resources through various cloud-based services.
Modern distributed systems require fast and scalable datastores for efficient processing of huge amounts of information. Traditional DBMSs are insufficient for such a purpose. Hence, new datastore models were develope...
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ISBN:
(纸本)9783319321493;9783319321486
Modern distributed systems require fast and scalable datastores for efficient processing of huge amounts of information. Traditional DBMSs are insufficient for such a purpose. Hence, new datastore models were developed. In the paper we present the design and implementation of a scalable distributed two-layer block based datastore. We also discuss experimental results of comparing the performance of our datastore with MongoDB, a widely used nosql datastore.
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